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in multiscale and multifidelity simulation techniques (ab initio methods at different fidelity, machine learning tight-binding, machine learning force fields, phase-field modeling, and/or kinetic monte
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will be jointly embedded and interact with PhD students and research engineers of the Interdisciplinary Institute for Artificial Intelligence (3iA) TechPool, and operates in the context of international
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). We offer A 2-year postdoctoral position. A highly interdisciplinary and international research environment offering a unique opportunity to interact with researchers from many different disciplines
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and heat dissipation the most urgent challenges underpinning development of mobile devices, large data centres and smart edge devices in applications spanning artificial intelligence, communications
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for the manufacturing of next generation materials for different potential market applications to evaluate the life cycle economic, energy, and environmental impacts. The focus of these analyses is to understand
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Requisition Id 15358 Overview: Oak Ridge National Laboratory (ORNL) is seeking an ambitious postdoctoral scientist with keen interest in artificial intelligence (AI) / machine learning (ML) and
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Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and
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., Cividini, D., Turpault, M. P., & Chabaux, F. (2012). Boron isotopes in different grain size fractions: Exploring past and present water–rock interactions from two soil profiles (Strengbach, Vosges Mountains